> Markdown version of [/jobs/ext/2715067-data-engineers](https://www.wearedevelopers.com/jobs/ext/2715067-data-engineers). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Data Engineers - **Company:** Movement Labs - **Location:** United States (Remote available) - **Experience:** Expert - **Salary:** $90,000.0 - $119,000.0 - **Contract:** Franchise - **Skills:** Application Programming Interfaces (APIs), Airflow, BigQuery, Cloud Database, Data Architecture, Information Engineering, Data Systems, Data Warehousing, Python (Programming Language), Operational Databases, SQL Databases, Systems Integration, Google Cloud - **Published:** September 4, 2026 - **Apply:** https://startup.jobs/senior-data-engineers-movement-labs-8802023 ## About the Role We are looking for 3 roles, Senior and Mid-level Data Engineers to join the Tech department. You will be a part of an 8-person data engineering team, and will have a lot of ownership and ability to make an impact. You'll work cross-functionally in a collaborative, startup-like environment., * Passionate about progressive politics and leveraging data, technology, organizing and research to build political power * 3-6+ years of experience (Senior or Mid-level) in designing, building, and operating production data pipelines and integrations * Strong proficiency in SQL and Python * Experience building production software across a modern data stack - cloud data warehouses (BigQuery or similar), a transformation framework like dbt, and an orchestrator like Dagster or Airflow * A track record of leading technical work across multiple systems or teams, and scoping ambiguous problems end-to-end * Sound judgment about when to refactor, when to ship pragmatically, and how to leave systems better than you found them * Strong written communication - you document what you build and can explain complex systems to non-engineers * Genuine commitment to the mission of stopping fascism and building progressive power, and comfort operating on a political calendar, * Experience in the progressive, political, advocacy, or nonprofit sector - including awareness of c3/c4/PAC boundaries and the sensitivities of political and voter data * Familiarity with election results, voter file data, and the tools campaigns use to organize, text, and contact voters * Experience on Google Cloud Platform * Experience in on-call rotations and mentoring less-experienced engineers ## Description * Design and implement scalable data architecture for targeting and engagement * Serve as technical partner to program teams * Extend our foundational datasets to facilitate new outreach strategies * Load-test our systems to prepare for elections * Maintain key datasets for polling images and precinct cross-matching * Develop standardized experimental frameworks for testing campaign effectiveness * Build AI tooling that makes our own team faster - QC agents for data deliveries, the evals to trust them, and context systems that keep our repos self-documenting Our data team's work mixes greenfield builds, pragmatic plumbing, incident response, and operational work. The relative mix shifts with the political calendar., * Shape the pipelines and integrations feeding our RCT platform and our foundational voter datasets: the APIs, replication, federation layers, experiment randomization, and the failure modes that come with running data systems for hundreds of partner organizations on a non-negotiable political calendar * Extend our data platform and orchestration layer, and optimize it for cost, runtime, and reliability so it holds up during the elections, with millions of outreach attempts * Lead projects that span multiple systems and teams - scoping, designing, and driving them to real milestones * Hold the bar on quality - test and validate your own work, review teammates' code, and mentor through that review * Document and communicate - make your systems understandable to teammates, stakeholders, and non-engineers * Rotate through on-call and rapid response, including evenings and weekends during high-stakes moments like election cycles ## Related Videos - [From Messy Queries to Scalable Systems - How Data Engineering actually works](https://www.wearedevelopers.com/videos/100203-from-messy-queries-to-scalable-systems-how-data-engineering-actually-works) - [Data Science in Retail](https://www.wearedevelopers.com/videos/586-data-science-in-retail) - [Modern Data Architectures need Software Engineering](https://www.wearedevelopers.com/videos/1030-modern-data-architectures-need-software-engineering) - [Enjoying SQL data pipelines with dbt](https://www.wearedevelopers.com/videos/823-enjoying-sql-data-pipelines-with-dbt) - [The Data Mesh as the end of the Datalake as we know it](https://www.wearedevelopers.com/videos/156-the-data-mesh-as-the-end-of-the-datalake-as-we-know-it) - [Making Data Warehouses fast. 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